Zihua Si

According to our database, Zihua Si authored at least 15 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable Legal Case Matching via Graph Optimal Transport.

Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., June, 2024

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.

Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

UniSAR: Modeling User Transition Behaviors between Search and Recommendation.

Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach.

Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models Enhanced Collaborative Filtering.

Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.

Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, Jing Lu, Yiqun Hui, Xingchao Cao, Zeyu Yang, Yichen Zheng, Dewei Leng, Kai Zheng, Chenbin Zhang, Yanan Niu, Yang Song, Kun Gai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Enhancing Recommendation with Search Data in a Causal Learning Manner.

Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen

ACM Trans. Inf. Syst., October, 2023

Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval.

Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu

CoRR, 2023

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning.

Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu

CoRR, 2023

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.

Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Reward Imputation with Sketching for Contextual Batched Bandits.

Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

KuaiSAR: A Unified Search And Recommendation Dataset.

Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Partial Information as Full: Reward Imputation with Sketching in Bandits.

Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen

CoRR, 2022

A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.

Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022